Systems and methods for identifying phrases in digital content that are trending

Abstract

The present disclosure is directed to systems and methods to identify trending or temporally popular phrases based on aggregating multiple users' interactions with an aggregate of content. A server may receive identification of a plurality of clicks of encoded uniform resource locator (URL) links. The server may identify, for each of the plurality of clicks, in content identified from decoding the encoded URL links, a plurality of phrases that correspond to a predetermined set of keywords. The server may determine a velocity of clicks on content corresponding to each phrase of the plurality of phrases and identify a trend in one or more phrases of the plurality of phrases based on the velocity of clicks.

Dependencies are inferred from the claim text.